Sergi Pujades
- Computer Vision and Pattern Recognition top 2%
- Computational Mechanics top 2%
- Computer Graphics and Computer-Aided Design top 1%
- Control and Systems Engineering top 10%
- Human-Computer Interaction top 5%
- Co-authors
- Michael J. BlackGerard Pons‐MollQianli MaAnurag RanjanSiyu TangJinlong YangFrédéric DevernayBastian Goldlüecke
- Topics
- 3D Shape Modeling and Analysis (10 papers)Human Pose and Action Recognition (7 papers)Advanced Vision and Imaging (5 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- American Journal of Clinical NutritionIEEE Transactions on Medical ImagingACM Transactions on Graphics
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Sergi Pujades
20 papers receiving 800 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 542
- Computational Mechanics 485
- Computer Graphics and Computer-Aided Design 243
- Control and Systems Engineering 131
- Human-Computer Interaction 71
Countries citing papers authored by Sergi Pujades
This map shows the geographic impact of Sergi Pujades's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sergi Pujades with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergi Pujades more than expected).
Fields of papers citing papers by Sergi Pujades
This network shows the impact of papers produced by Sergi Pujades. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sergi Pujades. The network helps show where Sergi Pujades may publish in the future.
Co-authorship network of co-authors of Sergi Pujades
This figure shows the co-authorship network connecting the top 25 collaborators of Sergi Pujades. A scholar is included among the top collaborators of Sergi Pujades based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sergi Pujades. Sergi Pujades is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 8 | |
| 7 | 19 | |
| 8 | 24 | |
| 9 | 23 | |
| 10 | 19 | |
| 11 | Learning to Dress 3D People in Generative Clothingbreakdown → | 205 |
| 12 | Dressing 3D Humans using a Conditional Mesh-VAE-GAN. | 6 |
| 13 | 39 | |
| 14 | 14 | |
| 15 | 2 | |
| 16 | 31 | |
| 17 | 72 | |
| 18 | 36 | |
| 19 | 7 | |
| 20 | 21 |
About Sergi Pujades
Sergi Pujades is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 21 papers that have together received 829 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (10 papers), Human Pose and Action Recognition (7 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (243 citations), Computer Vision and Pattern Recognition (542 citations) and Computational Mechanics (485 citations). Sergi Pujades has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Michael J. Black, Gerard Pons‐Moll, Qianli Ma, Anurag Ranjan, Siyu Tang, Jinlong Yang, Frédéric Devernay, Bastian Goldlüecke, Anne Thaler and Betty J. Mohler. Their work appears in journals such as American Journal of Clinical Nutrition, IEEE Transactions on Medical Imaging and ACM Transactions on Graphics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.